Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia.

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Title: Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia.
Authors: Nardo-Marino A; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.; Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom., Braunstein TH; Core Facility for Integrated Microscopy, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Petersen J; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Brewin JN; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom., Mottelson MN; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Williams TN; KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.; Institute of Global Health Innovation, Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom., Kurtzhals JAL; Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.; Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Rees DC; Department of Haematological Medicine, King's College Hospital, London, United Kingdom.; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom., Glenthøj A; Centre for Haemoglobinopathies, Department of Haematology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Source: Frontiers in physiology [Front Physiol] 2022 Apr 05; Vol. 13, pp. 859906. Date of Electronic Publication: 2022 Apr 05 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-042X
DOI:10.3389/fphys.2022.859906